ArticleBMC bioinformatics2018
dbMPIKT: a database of kinetic and thermodynamic mutant protein interactions.
Article in BMC bioinformatics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Article
- PPAC: Predicting Protein-Protein Affinity Changes Induced by Amino Acid Mutations Using Protein Large Language Models.ACS omega · 2025Article
- Decoding the effects of mutation on protein interactions using machine learning.Biophysics reviews · 2025Review
- Graph masked self-distillation learning for prediction of mutation impact on protein-protein interactions.Communications biology · 2024Article
- Binding Curve Viewer: Visualizing the Equilibrium and Kinetics of Protein-Ligand Binding and Competitive Binding.Journal of chemical information and modeling · 2024Article
- Quantification of biases in predictions of protein-protein binding affinity changes upon mutations.Briefings in bioinformatics · 2023Article
- Deep Local Analysis deconstructs protein-protein interfaces and accurately estimates binding affinity changes upon mutation.Bioinformatics (Oxford, England) · 2023Article
- Predicting Biomolecular Binding Kinetics: A Review.Journal of chemical theory and computation · 2023Review
- Prediction of hot spots towards drug discovery by protein sequence embedding with 1D convolutional neural network.PloS one · 2023Article
- Persistent Laplacian projected Omicron BA.4 and BA.5 to become new dominating variants.Computers in biology and medicine · 2022Article
- Revealing the Threat of Emerging SARS-CoV-2 Mutations to Antibody Therapies.Journal of molecular biology · 2021Article
- Article
- SAAMBE-3D: Predicting Effect of Mutations on Protein-Protein Interactions.International journal of molecular sciences · 2020Article
- A topology-based network tree for the prediction of protein-protein binding affinity changes following mutation.Nature machine intelligence · 2020Article
- Semi-supervised prediction of protein interaction sites from unlabeled sample information.BMC bioinformatics · 2019Article
- mCSM-PPI2: predicting the effects of mutations on protein-protein interactions.Nucleic acids research · 2019Article
- Hot spot prediction in protein-protein interactions by an ensemble system.BMC systems biology · 2018Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
backgroundProtein-protein interactions (PPIs) play important roles in biological functions. Studies of the effects of mutants on protein interactions can provide further understanding of PPIs. Currently, many databases collect experimental mutants to assess protein interactions, but most of these databases are old and have not been updated for several years.
resultsTo address this issue, we manually curated a kinetic and thermodynamic database of mutant protein interactions (dbMPIKT) that is freely accessible at our website. This database contains 5291 mutants in protein interactions collected from previous databases and the literature published within the last three years. Furthermore, some data analysis, such as mutation number, mutation type, protein pair source and network map construction, can be performed online.
conclusionOur work can promote the study on PPIs, and novel information can be mined from the new database. Our database is available in http://DeepLearner.ahu.edu.cn/web/dbMPIKT/ for use by all, including both academics and non-academics.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.